Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks

被引:0
|
作者
Mukherjee, Suvabrata [1 ]
Roy, Provas Kumar [2 ]
机构
[1] NSHM Coll, Durgapur, India
[2] Kalyani Govt Engn Coll, Kalyani, W Bengal, India
关键词
Distribution Generation Units; Evolutionary Programming; Loss Minimization; Loss Saving; Optimal Siting; Optimal Sizing; Whale Optimization Algorithm; DISTRIBUTION-SYSTEMS; OPTIMAL PLACEMENT; CAPACITOR PLACEMENT; VOLTAGE STABILITY; GENERATION UNITS; ALLOCATION; RECONFIGURATION;
D O I
10.4018/IJAMC.290537
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For optimum placement of distributed generation (DG) units in balanced radial distribution network for loss minimization, implementation of whale optimization algorithm (WOA), a state-of-the-art meta-heuristic optimization algorithm is proposed in this paper. Encouraged by bubble-net hunting strategy of whales, WOA mimes the collective practice of humpback whales. For validating performance in solving the mentioned problem, the suggested technique is implemented on IEEE 33-bus and IEEE 69-bus balanced radial distribution test networks. The obtained results demonstrate that feasible and effective solutions are obtained using the proposed approach and can be used as a propitious substitute in practical power systems to overcome the optimum DG siting and sizing issue. Also, to the best knowledge of the authors, it is the first report on the application of WOA in solving optimum DG siting and sizing issue.
引用
收藏
页数:21
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